Massimo Villari

164 papers and 2.2k indexed citations i.

About

Massimo Villari is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Massimo Villari has authored 164 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Computer Networks and Communications, 67 papers in Information Systems and 25 papers in Artificial Intelligence. Recurrent topics in Massimo Villari’s work include IoT and Edge/Fog Computing (66 papers), Cloud Computing and Resource Management (46 papers) and Caching and Content Delivery (16 papers). Massimo Villari is often cited by papers focused on IoT and Edge/Fog Computing (66 papers), Cloud Computing and Resource Management (46 papers) and Caching and Content Delivery (16 papers). Massimo Villari collaborates with scholars based in Italy, United Kingdom and Australia. Massimo Villari's co-authors include Maria Fazio, Antonio Celesti, Rajiv Ranjan, Antonio Puliafito, Antonino Galletta, Schahram Dustdar, Omer Rana, Francesco Tusa, Lorenzo Carnevale and Prem Prakash Jayaraman and has published in prestigious journals such as Trends in biotechnology, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Massimo Villari i

Fields of papers citing papers by Massimo Villari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo Villari. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Massimo Villari. The network helps show where Massimo Villari may publish in the future.

Countries citing papers authored by Massimo Villari

Since Specialization
Citations

This map shows the geographic impact of Massimo Villari's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Massimo Villari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Villari more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025